Unranked
KA
align-base
Kakaobrain
N/A LLMBoard
Google model product
Gemini Embedding 2 is a multimodal embedding model from Google.
Updated Sep 8, 2026. Default version: Gemini Embedding 2
Benchmark scores for the scored version.
No benchmark result is linked to the scored version.
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderGoogle | Provider model IDgemini-embedding-2 | Regionglobal | Input / 1M$0.20 | Output / 1MN/A | Context8.2K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Gemini Embedding 2. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGemini Embedding 2 | Released | LLMBoardN/A | ParametersN/A | Context8.2K | Max output3.1K | Open weightsNo | LicenseUnspecified |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Gemini Embedding 2 and its available data.
Gemini Embedding 2 maps text, images, video, audio, and PDFs into a unified embedding space.
Data as of 2026-09-08.
Common questions about Gemini Embedding 2.
Gemini Embedding 2's default version was released on Apr 22, 2026.
Gemini Embedding 2's official API price is $0.20 per million input tokens and N/A per million output tokens via Google.
Gemini Embedding 2 was created by Google.
The default version has a 8.2K token context window.
No. The default version is not marked as having publicly available weights.
3 provider offerings are linked to the default version.